Salīdzināt metodes

	Jūdena J statistika	Balansētā precizitāte	F1-novērtējums
Nozare	Modeļu novērtēšana	Modeļu novērtēšana	Modeļu novērtēšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	1950	2010	1979
Autors	W. J. Youden	Brodersen, Ong, Stephan, and Buhmann	C. J. van Rijsbergen
Tips	Evaluation metric	Evaluation metric	Evaluation metric
Pirmavots	Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35.	Brodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010). The balanced accuracy and its posterior distribution. 20th International Conference on Pattern Recognition (ICPR), 3121-3124.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.
Citi nosaukumi	Youden Index, Sensitivity + Specificity - 1	Average Recall, Equal-weight Average Sensitivity	F-measure, Harmonic Mean
Saistītās	3	5	5
Kopsavilkums	Youdens J statistic, also called the Youden index, measures the maximum difference between the true positive rate and false positive rate across different classification thresholds. It is useful for selecting optimal cutoff points in diagnostic testing.	Balanced accuracy is the average of recall values computed for each class separately. It corrects for class imbalance by giving equal weight to the performance on each class, regardless of class frequency in the dataset.	The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.